Zip Codes with the Lowest Median Female Earnings in Pennsylvania

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Lowest Earnings | Female
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Pennsylvania
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Median Female Earnings in Pennsylvania

$25,000
$0
Zip Codes with the Lowest Median Female Earnings in Pennsylvania Map

Zip Codes with the Lowest Median Female Earnings in Pennsylvania

Zip Code Earnings vs State vs National
1.15948$2,499$35,252(-32.8k)#1$35,367(-32.9k)#16
2.15951$2,499$35,252(-32.8k)#2$35,367(-32.9k)#28
3.17247$2,499$35,252(-32.8k)#3$35,367(-32.9k)#29
4.15691$2,499$35,252(-32.8k)#4$35,367(-32.9k)#32
5.15539$2,499$35,252(-32.8k)#5$35,367(-32.9k)#52
6.18460$2,499$35,252(-32.8k)#6$35,367(-32.9k)#56
7.17778$2,499$35,252(-32.8k)#7$35,367(-32.9k)#66
8.16546$2,500$35,252(-32.8k)#8$35,367(-32.9k)#81
9.16172$2,564$35,252(-32.7k)#9$35,367(-32.8k)#82
10.16444$2,854$35,252(-32.4k)#10$35,367(-32.5k)#94
11.16563$3,172$35,252(-32.1k)#11$35,367(-32.2k)#108
12.15705$3,403$35,252(-31.8k)#12$35,367(-32.0k)#121
13.19345$3,426$35,252(-31.8k)#13$35,367(-31.9k)#124
14.16802$3,527$35,252(-31.7k)#14$35,367(-31.8k)#135
15.15282$4,150$35,252(-31.1k)#15$35,367(-31.2k)#195
16.19383$4,294$35,252(-31.0k)#16$35,367(-31.1k)#219
17.18701$4,620$35,252(-30.6k)#17$35,367(-30.7k)#248
18.17027$4,778$35,252(-30.5k)#18$35,367(-30.6k)#259
19.15940$5,000$35,252(-30.3k)#19$35,367(-30.4k)#269
20.18843$5,466$35,252(-29.8k)#20$35,367(-29.9k)#294
21.15213$6,486$35,252(-28.8k)#21$35,367(-28.9k)#333
22.16217$6,667$35,252(-28.6k)#22$35,367(-28.7k)#337
23.19085$7,228$35,252(-28.0k)#23$35,367(-28.1k)#358
24.18473$8,362$35,252(-26.9k)#24$35,367(-27.0k)#378
25.16861$8,500$35,252(-26.8k)#25$35,367(-26.9k)#386
26.15419$10,371$35,252(-24.9k)#26$35,367(-25.0k)#443
27.17550$11,000$35,252(-24.3k)#27$35,367(-24.4k)#465
28.19530$11,289$35,252(-24.0k)#28$35,367(-24.1k)#493
29.16501$11,303$35,252(-23.9k)#29$35,367(-24.1k)#494
30.16057$11,423$35,252(-23.8k)#30$35,367(-23.9k)#504
31.15413$11,771$35,252(-23.5k)#31$35,367(-23.6k)#533
32.15847$11,875$35,252(-23.4k)#32$35,367(-23.5k)#537
33.17504$11,912$35,252(-23.3k)#33$35,367(-23.5k)#540
34.16659$12,308$35,252(-22.9k)#34$35,367(-23.1k)#571
35.17551$12,940$35,252(-22.3k)#35$35,367(-22.4k)#596
36.15334$13,173$35,252(-22.1k)#36$35,367(-22.2k)#616
37.16677$13,409$35,252(-21.8k)#37$35,367(-22.0k)#635
38.15684$13,472$35,252(-21.8k)#38$35,367(-21.9k)#640
39.19545$13,699$35,252(-21.6k)#39$35,367(-21.7k)#657
40.18624$13,712$35,252(-21.5k)#40$35,367(-21.7k)#658
41.15736$13,828$35,252(-21.4k)#41$35,367(-21.5k)#674
42.17529$13,889$35,252(-21.4k)#42$35,367(-21.5k)#682
43.19544$14,013$35,252(-21.2k)#43$35,367(-21.4k)#698
44.19104$14,053$35,252(-21.2k)#44$35,367(-21.3k)#702
45.19511$14,286$35,252(-21.0k)#45$35,367(-21.1k)#736
46.15646$15,114$35,252(-20.1k)#46$35,367(-20.3k)#842
47.17920$15,250$35,252(-20.0k)#47$35,367(-20.1k)#858
48.16507$15,606$35,252(-19.6k)#48$35,367(-19.8k)#898
49.18636$15,764$35,252(-19.5k)#49$35,367(-19.6k)#922
50.17535$15,833$35,252(-19.4k)#50$35,367(-19.5k)#926
51.16036$15,833$35,252(-19.4k)#51$35,367(-19.5k)#929
52.15864$16,023$35,252(-19.2k)#52$35,367(-19.3k)#959
53.15544$16,131$35,252(-19.1k)#53$35,367(-19.2k)#983
54.16256$16,250$35,252(-19.0k)#54$35,367(-19.1k)#998
55.15534$16,250$35,252(-19.0k)#55$35,367(-19.1k)#1,001
56.19437$16,280$35,252(-19.0k)#56$35,367(-19.1k)#1,022
57.15929$16,563$35,252(-18.7k)#57$35,367(-18.8k)#1,080
58.15467$16,563$35,252(-18.7k)#58$35,367(-18.8k)#1,081
59.15448$16,587$35,252(-18.7k)#59$35,367(-18.8k)#1,086
60.18469$16,620$35,252(-18.6k)#60$35,367(-18.7k)#1,097
61.15716$16,656$35,252(-18.6k)#61$35,367(-18.7k)#1,105
62.18331$16,797$35,252(-18.5k)#62$35,367(-18.6k)#1,141
63.16911$16,806$35,252(-18.4k)#63$35,367(-18.6k)#1,143
64.17213$16,875$35,252(-18.4k)#64$35,367(-18.5k)#1,171
65.18334$16,952$35,252(-18.3k)#65$35,367(-18.4k)#1,187
66.16029$17,000$35,252(-18.3k)#66$35,367(-18.4k)#1,192
67.15337$17,000$35,252(-18.3k)#67$35,367(-18.4k)#1,194
68.15921$17,019$35,252(-18.2k)#68$35,367(-18.3k)#1,200
69.19009$17,202$35,252(-18.1k)#69$35,367(-18.2k)#1,240
70.15742$17,222$35,252(-18.0k)#70$35,367(-18.1k)#1,241
71.15536$17,500$35,252(-17.8k)#71$35,367(-17.9k)#1,303
72.17935$17,727$35,252(-17.5k)#72$35,367(-17.6k)#1,340
73.18510$17,946$35,252(-17.3k)#73$35,367(-17.4k)#1,373
74.17864$18,125$35,252(-17.1k)#74$35,367(-17.2k)#1,406
75.15954$18,173$35,252(-17.1k)#75$35,367(-17.2k)#1,422
76.16245$18,182$35,252(-17.1k)#76$35,367(-17.2k)#1,426
77.15331$18,188$35,252(-17.1k)#77$35,367(-17.2k)#1,427
78.15555$18,375$35,252(-16.9k)#78$35,367(-17.0k)#1,468
79.19122$18,397$35,252(-16.9k)#79$35,367(-17.0k)#1,475
80.15772$18,626$35,252(-16.6k)#80$35,367(-16.7k)#1,526
81.15781$18,750$35,252(-16.5k)#81$35,367(-16.6k)#1,590
82.15860$18,906$35,252(-16.3k)#82$35,367(-16.5k)#1,626
83.16214$18,958$35,252(-16.3k)#83$35,367(-16.4k)#1,635
84.16932$19,028$35,252(-16.2k)#84$35,367(-16.3k)#1,650
85.16434$19,079$35,252(-16.2k)#85$35,367(-16.3k)#1,663
86.16726$19,083$35,252(-16.2k)#86$35,367(-16.3k)#1,665
87.16933$19,216$35,252(-16.0k)#87$35,367(-16.2k)#1,698
88.16111$19,239$35,252(-16.0k)#88$35,367(-16.1k)#1,707
89.16344$19,375$35,252(-15.9k)#89$35,367(-16.0k)#1,749
90.15432$19,375$35,252(-15.9k)#90$35,367(-16.0k)#1,752
91.17527$19,556$35,252(-15.7k)#91$35,367(-15.8k)#1,807
92.15554$19,559$35,252(-15.7k)#92$35,367(-15.8k)#1,808
93.18851$19,609$35,252(-15.6k)#93$35,367(-15.8k)#1,831
94.17557$19,626$35,252(-15.6k)#94$35,367(-15.7k)#1,834
95.16630$19,679$35,252(-15.6k)#95$35,367(-15.7k)#1,848
96.19133$19,712$35,252(-15.5k)#96$35,367(-15.7k)#1,859
97.16627$19,717$35,252(-15.5k)#97$35,367(-15.7k)#1,862
98.15088$19,750$35,252(-15.5k)#98$35,367(-15.6k)#1,876
99.17837$19,849$35,252(-15.4k)#99$35,367(-15.5k)#1,913
100.18326$20,053$35,252(-15.2k)#100$35,367(-15.3k)#1,975

Common Questions

What are the Top 10 Zip Codes with the Lowest Median Female Earnings in Pennsylvania?
Top 10 Zip Codes with the Lowest Median Female Earnings in Pennsylvania are:
#1
$2,499
#2
$2,499
#3
$2,499
#4
$2,499
#5
$2,499
#6
$2,499
#7
$2,499
#8
$2,500
#9
$2,564
#10
$2,854
What zip code has the Lowest Median Female Earnings in Pennsylvania?
15948 has the Lowest Median Female Earnings in Pennsylvania with $2,499.
What is the Median Female Earnings in the State of Pennsylvania?
Median Female Earnings in Pennsylvania is $35,252.
What is the Median Female Earnings in the United States?
Median Female Earnings in the United States is $35,367.